pyDatalog


NamepyDatalog JSON
Version 0.17.4 PyPI version JSON
download
home_pagehttps://sites.google.com/site/pydatalog/
SummaryA pure-python implementation of Datalog, a truly declarative language derived from Prolog.
upload_time2022-11-30 16:03:14
maintainer
docs_urlNone
authorPierre Carbonnelle
requires_python
license
keywords prolog logic programming database sql data integration expert system ai
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
## Warning

This package is not maintained.  Use at your own risk.
Consider using [IDP-Z3](https://www.idp-z3.be/) instead.

## Description

**pyDatalog** adds the logic programming paradigm to Python's toolbox, in a pythonic way.
You can now run logic queries on databases or Python objects, and use logic clauses to define python classes.
In particular, **pyDatalog** can be used as a query language:

* it can perform multi-database queries (from memory datastore, 11 relational databases, and noSQL database with
  appropriate connectors)
* it is more expressive than SQL, with a cleaner syntax;
* it facilitates re-use of SQL code snippet (e.g. for frequent joins or formula);


#### Datalog = SQL + recursivity

Datalog is a truly declarative language derived from Prolog, with strong academic foundations.  It complements Python
very well for:

* managing complex sets of related information (e.g. in data integration or the semantic web).
* simulating intelligent behavior (e.g. in games),
* performing recursive algorithms (e.g. in network protocol, code and graph analysis, parsing)
* solving discrete constraint problems.


#### As simple as Excel

Datalog excels at accelerated development: Datalog programs are often shorter than their Python equivalent,
and Datalog statements can be specified in any order, as simply as formula in a spreadsheet.


[More info](https://sites.google.com/site/pydatalog/home)




            

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